Healthcare IT News February 28, 2025
Susan Morse

HIMSS25 session will show how an AI solution can be implemented even at a high-volume, safety-net healthcare setting.

A HIMSS25 session will show how a large language model can monitor radiologist notes to help ensure patients are protected from medical errors and also get their recommended follow-up appointments.

Medical error, including a wrong or delayed diagnosis, is one of the top preventable causes of death in the United States. Delayed or missed opportunities for diagnoses (MOD) are particularly common in diagnostic imaging, where incidental findings require additional evaluation...

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Topics: AI (Artificial Intelligence), Conferences / Podcast, Provider, Radiology, Technology, Trends
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